Azure Data Engineer

3 weeks ago

Dubai, Dubai, United Arab Emirates Landmark Group Full time
About the Role

We are seeking an experienced Azure Data Engineer to join our Data Team in Landmark Digital, a dynamic digital arm of the Landmark Group. As a key member of our team, you will play a pivotal role in designing, deploying, and optimizing data solutions leveraging Azure's powerful ecosystem.

Key Responsibilities
  • Design and implement efficient data pipelines using Azure Data Factory, ensuring data quality and management in Azure Data Lake.
  • Utilize your proficiency in complex stored procedures within Azure Databricks or Synapse to enable advanced analytics on data volumes exceeding 50TB.
  • Collaborate cross-functionally to contribute to data-driven initiatives, leveraging Azure Synapse Analytics to provide actionable insights.
  • Apply your deep understanding of the retail domain to enhance data strategies and solutions for retail-specific challenges.
  • Optimize data storage, processing, and retrieval mechanisms for performance, cost, and scalability using data storage services, data processing services, and data visualization tools.
  • Monitor and troubleshoot data platform performance, identify and resolve issues, and provide recommendations for continuous improvement.
  • Collaborate with DevOps teams to automate deployment, configuration, and monitoring processes using Azure DevOps, PowerShell, or other relevant tools.
  • Stay up to date with the latest trends and advancements in cloud data services and provide recommendations on adopting new technologies or features to enhance the data platform.
  • Document technical designs, procedures, and guidelines for data platform engineering and operations.
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred.
  • Proven 6-8 years' experience in designing, implementing solutions on the Azure ecosystem, including expertise in Azure services such as Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure Data Lake Storage, and Azure SQL Database, Azure Synapse, PowerBI, etc.
  • Experience with big data technologies such as Apache Spark, Hadoop, or similar frameworks.
  • Solid understanding of cloud computing concepts and experience with cloud infrastructure management and provisioning.
  • Solid understanding of network security concepts and technologies (such as firewalls, VPNs, intrusion detection/prevention systems, etc.) and data security concepts and technologies (such as access controls, encryption, observability, privacy laws/regulations, etc.).
  • Experience in a Retail setup is preferred.
  • Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert is preferred.
Leadership Skills
  • Strategic Planning
  • Communication and Collaboration
  • Problem Solving Skills

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